Understanding Users' Interaction with Login Notifications
Philipp Markert, Leona Lassak, Maximilian Golla, Markus Dürmuth
摘要
Login notifications intend to inform users about sign-ins and help them protect their accounts from unauthorized access. Notifications are usually sent if a login deviates from previous ones, potentially indicating malicious activity. They contain information like the location, date, time, and device used to sign in. Users are challenged to verify whether they recognize the login (because it was them or someone they know) or to protect their account from unwanted access. In a user study, we explore users’ comprehension, reactions, and expectations of login notifications. We utilize two treatments to measure users’ behavior in response to notifications sent for a login they initiated or based on a malicious actor relying on statistical sign-in information. We find that users identify legitimate logins but need more support to halt malicious sign-ins. We discuss the identified problems and give recommendations for service providers to ensure usable and secure logins for everyone.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper5
- Inconsistent, Incomplete, and Insecure: A Survey of Account Security InterfacesArkaprabha Bhattacharya, Alaa Daffalla, Kevin Lee, Rosanna Bellini 等USENIX Security 2026
- "Who is Trying to Access My Account?" Exploring User Perceptions and Reactions to Risk-based Authentication NotificationsTongxin Wei, Ding Wang, Yutong Li, Yuehuan WangNDSS 2025
- Anchors of Trust: A Usability Study on User Awareness, Consent, and Control in Cross-Device AuthenticationXin Zhang, Xiaohan Zhang, Huijun Zhou, Bo ZhaoNDSS 2026
- Was This You? Investigating the Design Considerations for Suspicious Login NotificationsSena Sahin, Burak Sahin, Frank LiNDSS 2025
- “Maybe there’s only one passkey?”: Challenges Investigating and Remediating Adversarial PasskeysAlaa Daffalla, Grace Myers, Rosanna Bellini, Thomas Ristenpart 等USENIX Security 2026
它引用的顶会 Paper12
- Tranco: A Research-Oriented Top Sites Ranking Hardened Against ManipulationVictor Le Pochat, Tom van Goethem, Samaneh Tajalizadehkhoob, Maciej Korczynski 等NDSS 2019 · 被引用 826 次
- Dark Patterns after the GDPR: Scraping Consent Pop-ups and Demonstrating their InfluenceMidas Nouwens, Ilaria Liccardi, Michael Veale, David R. Karger 等CHI 2020 · 被引用 491 次
- Protecting accounts from credential stuffing with password breach alertingKurt Thomas, Jennifer Pullman, Kevin Yeo, Ananth Raghunathan 等USENIX Security 2019 · 被引用 154 次
- Beyond Credential Stuffing: Password Similarity Models Using Neural NetworksBijeeta Pal, Tal Daniel, Rahul Chatterjee, Thomas RistenpartS&P 2019 · 被引用 100 次
- Adapting Security Warnings to Counter Online DisinformationBen Kaiser, Jerry Wei, Eli Lucherini, Kevin Lee 等USENIX Security 2021 · 被引用 81 次
相关 Paper
- "Should I Worry?" A Cross-Cultural Examination of Account Security Incident ResponseElissa M. RedmilesS&P 2019 · 被引用 53 次
- "What was that site doing with my Facebook password?": Designing Password-Reuse NotificationsMaximilian Golla, Miranda Wei, Juliette Hainline, Lydia Filipe 等CCS 2018 · 被引用 68 次
- Breaking Mobile Notification-based Authentication with Concurrent Attacks Outside of Mobile DevicesAhmed Tanvir Mahdad, Mohammed Jubur, Nitesh SaxenaMobiCom 2023 · 被引用 5 次
- Gossamer: Securely Measuring Password-based LoginsMarina Sanusi Bohuk, Mazharul Islam, Suleman Ahmad, Michael M. Swift 等USENIX Security 2022
- Who Are You? A Statistical Approach to Measuring User AuthenticityDavid Freeman, Sakshi Jain, Markus Dürmuth, Battista Biggio 等NDSS 2016 · 被引用 151 次
